Business Intelligence Specialist

Business Intelligence Specialist - Senior Duration: 124 Business days Location: Toronto, ON (Onsite) Experience and Skill Set Requirements Please note this role is onsite 5-days a week at the Office Location. Experience: Experience of 7+ years of working with SQL Server, T‑SQL, Oracle, PL/SQL development or similar relational databases (must-have) Experience of 2+ years of working with Azure Data Factory, Databricks and Python development (must-have) Experience building data ingestion and change data capture using Oracle Golden Gate (nice-to-have) Experience working with building databases, data warehouses and dimensional data marts and working with delta and full loads (must-have) Experience on Data modeling, and tools – e.g. SAP Power Designer, Visio, or similar (must-have) Experience with dimensional modeling. Experience in designing data warehouse solutions using slowly changing dimensions (must-have) Experience working with SQL Server SSIS or other ETL tools, solid knowledge and experience with SQL scripting (must-have) Experience developing in an Agile environment Understanding data warehouse architecture with a delta lake and dimensional model (must-have) Ability to analyze, design, develop, test and document ETL pipelines from detailed and high‑level specifications, and assist in troubleshooting. Ability to utilize SQL to perform DDL tasks and complex queries Good knowledge of database performance optimization techniques Ability to assist in the requirements analysis and subsequent developments Ability to conduct unit testing and assist in test preparations to ensure data integrity Work closely with Designers, Business Analysts and other Developers Liaise with Project Managers, Quality Assurance Analysts and Business Intelligence Consultants Design and implement technical enhancements of Data Warehouse as required. Skills: 7+ years using ETL tools such as Microsoft SSIS, stored procedures, T‑SQL (Must Have) 2+ Azure Data Lake and Databricks, and building Azure Data Factory and Azure Databricks pipelines (Must Have) 2+ years Python and PySpark (Must Have) Oracle Golden Gate SQL Server Oracle Ability to present technical requirements to the business Assets: Knowledge and experience building data ingestion, history, change data capture using Oracle Golden Gate is an asset. Evaluation Criteria Design Documentation and Analysis Skills (30 points) Demonstrated experience in creating both Functional Design Documents (FDD) & Detailed Design Documents (DDD). Experience in Fit‑Gap analysis, system use case reviews, requirements reviews, coding exercises and reviews. Experience in the development and maintaining a plan to address contract deliverables, through the identification of significant milestones and expected results with weekly status reporting. Work with the Client & Developer(s) assigned to refine/confirm Business Requirements Participate in defect fixing, testing support and development activities for ETL and reporting Analyze and document solution complexity and interdependencies by function including providing support for data validation. Development, Database and ETL experience (60 points) Demonstrated experience in database and ETL development (7+ years) Experience in developing in an agile Azure DevOps environment Experience in application mapping to populate data warehouse and dimensional data mart schemas Demonstrated experience in Extract, Transform & Load software development (7+ years) Experience in providing ongoing support on Azure pipeline/configuration and SqlServer SSIS development Experience building data ingestion and change data capture using Golden Gate Assist in the development of the pre‑defined and ad‑hoc reports and meet the coding and accessibility requirements. Demonstrated experience with Oracle and SqlServer databases Proficient in SQL and Python Implementing logical and physical data models Knowledge Transfer (10 points) The Developer must have previous work experience in conducting Knowledge Transfer and training sessions, ensuring the resources will receive the required knowledge to support the system. The resource must develop learning activities using review‑watch‑do methodology & demonstrate the ability to prepare and present. Development of documentation and materials as part of a review and knowledge transfer to other members Development and facilitation of classroom based, or virtual instructor led demo sessions for Developers Monitor identified milestones and submission of status reports to ensure Knowledge Transfer is fully completed Must Have: 7+ years using ETL tools such as Microsoft SSIS, stored procedures, T‑SQL (Must Have) 2+ Azure Data Lake and Databricks, and building Azure Data Factory and Azure Databricks pipelines (Must Have) 2+ years Python and PySpark (Must Have) Oracle Golden Gate SQL Server Oracle Ability to present technical requirements to the business #J-18808-Ljbffr